In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
Tom Croonenborghs, Kurt Driessens, Maurice Bruynoo...
The current practice of designing the auditory mode in the user interface is poorly understood. In this survey, we aim at revealing the common understanding of the role of audio i...
Christopher Frauenberger, Tony Stockman, Marie-Luc...
A common problem within most large corporations nowadays is the diversity of database systems that are employed by their many departments in the development of a product. Usually, ...
Fernando de Ferreira Rezende, Ulrich Hermsen, Geor...
Mixed-initiative learning integrates complementary human and automated reasoning, taking advantage of their respective reasoning styles and computational strengths in order to sol...
In many domains, agent-based system modeling competes with equation-based approaches that identify system variables and evaluate or integrate sets of equations relating these varia...